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UB's Center of Excellence in Information Systems, Assurance, Research, and Education (CEISARE) received a $1.6 million NSF grant to train students to protect the United States from cyberattacks. »
UB hosted Davis Hall's ribbon-cutting ceremony on May 12, 2012. Pictured (l to r) are: Kamlesh Tripathi, Margaret Jacobs, Jeremy Jacobs, Barbara Davis, Jack Davis, Rajan Batta, George Maziarz, and Harvey Stenger.
CSE faculty average some $4.5 million annually in research grants. Our research areas range from high-performance computing to data mining.
CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.
CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.
CEDAR, a CSE-affiliated research center, developed the systems that postal agencies around the world use to automatically sort hand-addressed mail.
This concept scheme shows Davis Hall, CSE's new $75M headquarters, viewed from the northeast. Ketter and Furnas Halls can be seen on the left, just south of the new building. We broke ground in April 2009.
CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.
The CSE faculty includes NSF CAREER award holders; ACM, IEEE, and AAAI fellows; and editors of noteworthy journals.
A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.
This concept scheme shows Davis Hall, CSE's new $75M headquarters, viewed from the northwest. The edge of Ketter Hall is visible on the right, just east of Davis. UB held the ribbon-cutting ceremony on May 12, 2012.
CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.
CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.
Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.
Click on the calendar image to view the schedule of planned events.
See a list of current and past events.